Update app.py

app.py

@@ -191,6 +191,43 @@ DEFAULT_VALUES = {
     "color_fix_method": "adain"
 }
 
+# Define example data
+EXAMPLES = [
+    [
+        "examples/low_res_1.jpg",  # Input image path
+        "clean, detailed photo, high quality, 8k resolution",  # Prompt
+        "blurry, noise, artifacts, low quality",  # Negative prompt
+        3.0,  # Guidance scale
+        1.0,  # Conditioning scale
+        6,    # Num steps
+        42,   # Seed
+        4,    # Upscale factor
+        "wavelet"  # Color fix method
+    ],
+    [
+        "examples/low_res_2.jpg",
+        "sharp, crisp details, professional photo, ultra HD",
+        "blur, pixelated, low resolution, noise",
+        3.0,
+        1.0,
+        6,
+        123,
+        4,
+        "wavelet"
+    ],
+    [
+        "examples/low_res_3.jpg",
+        "natural texture, fine details, pristine quality",
+        "artificial, smooth, blurry, low quality",
+        2.5,
+        1.0,
+        6,
+        456,
+        4,
+        "wavelet"
+    ]
+]
+
 # Create interface components
 with gr.Blocks(title="Controllable Conditional Super-Resolution") as demo:
     gr.Markdown("## Controllable Conditional Super-Resolution")
@@ -200,7 +237,6 @@ with gr.Blocks(title="Controllable Conditional Super-Resolution") as demo:
         with gr.Column():
             input_image = gr.Image(label="Input Image")
             
-            # Put all parameters in an accordion/dropdown
             with gr.Accordion("Advanced Options", open=False):
                 prompt = gr.Textbox(label="Prompt", value=DEFAULT_VALUES["prompt"])
                 negative_prompt = gr.Textbox(label="Negative Prompt", value=DEFAULT_VALUES["negative_prompt"])
@@ -215,7 +251,6 @@ with gr.Blocks(title="Controllable Conditional Super-Resolution") as demo:
                     value=DEFAULT_VALUES["color_fix_method"]
                 )
             
-            # Add buttons
             with gr.Row():
                 clear_btn = gr.Button("Clear")
                 submit_btn = gr.Button("Submit", variant="primary")
@@ -223,6 +258,19 @@ with gr.Blocks(title="Controllable Conditional Super-Resolution") as demo:
         with gr.Column():
             output_image = gr.Image(label="Generated Image")
 
+    # Add examples
+    gr.Examples(
+        examples=EXAMPLES,
+        inputs=[
+            input_image, prompt, negative_prompt, guidance_scale,
+            conditioning_scale, num_steps, seed, upscale_factor,
+            color_fix_method
+        ],
+        outputs=output_image,
+        fn=process_image,
+        cache_examples=True  # Cache the results for faster loading
+    )
+
     # Define submit action
     submit_btn.click(
         fn=process_image,